提出了一种与传统方法相比效率更高的量子图像显著性检测方案.为了在量子计算机中表示和存储RGB图像,并计算不同像素间的反差,此方案采用3量子位描述颜色信息,把2轨×2图像矩阵编码为量子叠加态;结合Hadamard门和受控旋转算子,计算基态概率幅可反映像素在RGB三通道上的全局颜色反差;通过有限次数的投影测量可得到像素的归一化颜色反差及位置信息,并构建显著图.给出了相关量子电路的实现和复杂度分析.与多种传统显著性检测算法进行了对比实验,结果表明提出的方案具有良好的检测效果和更高的检测效率.
A quantum image saliency detection scheme is proposed,which is more efficient than the traditional methods.In order to represent and store RGB images in quantum computers and calculate the contrast between different pixels,the scheme adopts three-qubits to describe color information.The 22n × 2 image matrix is encoded as a quantum superposition state.Combined with Hadamard gate and controlled rotation operator,the global color contrast of pixels in RGB three-channels can be reflected by computing probability amplitude of basis states.The normalized color contrast and location information is achieved using a finite number of projective measurements,and the saliency map is constructed.The realization ofrelated quantum circuits and complexity analysis are presented.The contrast experiments are carried out with several traditional saliency detection algorithms,Results show that the proposed scheme has good detection effect and higher detection efficiency.
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